Paper Citation Record · LEDGER

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.10597.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.10597 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:36:01.811459Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact13
verified fuzzy0
unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0db0256a-9a17-4679-b28e-faa15ae09f5c · outbound

This paper cites A survey of underwater vehicle navigation: Recent advances and new challenges,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A survey of underwater vehicle navigation: Recent advances and new challenges,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation f693bc93-24fe-46c2-bd14-fcf61f5f618c · outbound

This paper cites AUV navigation and localization: A review,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling AUV navigation and localization: A review,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 017aaada-d603-448f-a3eb-786a81ad1659 · outbound

This paper cites The interacting multiple model algorithm for systems with markovian switching coefficients,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling The interacting multiple model algorithm for systems with markovian switching coefficients,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 8710b1b5-46cf-48d1-b93c-46c959b36c7a · outbound

This paper cites A multi-model EKF integrated navigation algorithm for deep water AUV,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A multi-model EKF integrated navigation algorithm for deep water AUV,

Reference 4

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Source-reported events for the cited work

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Observation 89a83de2-daf6-4760-8b5d-2833da3e60d5 · outbound

This paper cites Multiple model AUV navigation methodology with adaptivity and robustness,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Multiple model AUV navigation methodology with adaptivity and robustness,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation d194a09b-46fe-4e40-93ae-30b4008f312a · outbound

This paper cites A hybrid-kernel-based adaptive robust kalman filter for INS/DVL integrated underwater navigation,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A hybrid-kernel-based adaptive robust kalman filter for INS/DVL integrated underwater navigation,

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.720561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9eb2e349-3a1c-42a8-ad80-5ba663459403 · outbound

This paper cites A survey on transfer learning,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A survey on transfer learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 018b1075-4919-4a0b-8e61-6a7d528466c8 · outbound

This paper cites Available: https://doi.org/10.1109/TKDE.2009.191.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Available: https://doi.org/10.1109/TKDE.2009.191

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 1b8cbc1f-346c-4ffb-a42a-f12693405f41 · outbound

This paper cites AprilTag: A robust and flexible visual fiducial system,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling AprilTag: A robust and flexible visual fiducial system,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 328c5ce9-b1dc-4d61-a596-86b1aa2a7030 · outbound

This paper cites Flexible layouts for fiducial tags,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Flexible layouts for fiducial tags,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation de6d84bf-7d01-4aa8-bea9-d2ac82fb493f · outbound

This paper cites Evaluation of underwater AprilTag localization for highly agile micro underwater robots,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Evaluation of underwater AprilTag localization for highly agile micro underwater robots,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation d5c1406c-c011-4403-8610-7432ff7cbe4d · outbound

This paper cites Evaluation of UKF-based fusion strategies for autonomous underwater vehicles multisensor navigation,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Evaluation of UKF-based fusion strategies for autonomous underwater vehicles multisensor navigation,

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.631979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6002a474-cf1b-4961-a26d-f811625231ff · outbound

This paper cites Terrain-aided navigation with coarse maps—toward an arctic crossing with an AUV,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Terrain-aided navigation with coarse maps—toward an arctic crossing with an AUV,

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.691008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5a678ef-2ce4-48e7-998f-0cbbdfd98da7 · outbound

This paper cites A quantitative evaluation of bathymetry-based bayesian localization methods for autonomous underwater robots,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A quantitative evaluation of bathymetry-based bayesian localization methods for autonomous underwater robots,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 2bf783d7-5d3a-4575-b9b9-6c58e1fec4e7 · outbound

This paper cites One-way-travel-time hybrid baseline navigation for micro autonomous underwater vehicles,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling One-way-travel-time hybrid baseline navigation for micro autonomous underwater vehicles,

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.625719Z

Source-reported events for the cited work

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Observation 796d026e-25e6-436d-8171-a4aae1121b55 · outbound

This paper cites Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

Source-reported events for the cited work

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Observation cf411d14-99f4-45b0-b449-f84b34d1a98e · outbound

This paper cites Robust estimation of a location parameter,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Robust estimation of a location parameter,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 649a6d5e-ad9f-4d63-848b-ee924d949a05 · outbound

This paper cites Variational Bayesian Adaptation of Noise Covariances in Non-Linear Kalman Filtering.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Variational Bayesian Adaptation of Noise Covariances in Non-Linear Kalman Filtering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 1b32a5e7-4649-4d85-873c-4de613188e2e · outbound

This paper cites Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 55c943ed-5b22-49a8-bd0e-89525c457e19 · outbound

This paper cites ProNet: Adaptive Process Noise Estimation for INS/DVL Fusion.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling ProNet: Adaptive Process Noise Estimation for INS/DVL Fusion

Reference 20

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Observation 220276e1-b61a-48a6-adaf-6bf3413be809 · outbound

This paper cites iSAM2: Incremental smoothing and mapping using the bayes tree,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling iSAM2: Incremental smoothing and mapping using the bayes tree,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation f61d16f7-d46a-423a-a796-68e9df69a6ec · outbound

This paper cites IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation,

Reference 22

Resolution: verified exact; doi, observed 2026-07-14T10:40:25.684893Z

Source-reported events for the cited work

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Observation 1fe3e1f9-cd4f-4277-a9e4-dc3241956d52 · outbound

This paper cites A robust INS/USBL/DVL integrated navigation algorithm using graph optimization,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A robust INS/USBL/DVL integrated navigation algorithm using graph optimization,

Reference 23

Resolution: verified exact; doi, observed 2026-07-14T10:40:25.658508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42b6192b-f7d1-48d4-891a-43fc58e2d69b · outbound

This paper cites A novel INS/USBL/DVL integrated navigation scheme against complex underwater environment,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A novel INS/USBL/DVL integrated navigation scheme against complex underwater environment,

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.611212Z

Source-reported events for the cited work

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Observation 25e7b2cb-f120-4530-a1c8-0f01c3f017cd · outbound

This paper cites FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 806ae273-fe41-41bf-ad00-573507647c51 · outbound

This paper cites Combining DVL-INS and laser-based loop closures in a batch estimation framework for underwater positioning,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Combining DVL-INS and laser-based loop closures in a batch estimation framework for underwater positioning,

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.680258Z

Source-reported events for the cited work

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Observation 256c0924-2e17-4b32-a5c4-c22dd10b79b8 · outbound

This paper cites A robust INS/USBL/DVL integrated navigation method based on adaptive correlation entropy factor graph optimization,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A robust INS/USBL/DVL integrated navigation method based on adaptive correlation entropy factor graph optimization,

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.604872Z

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Observation 1278ca74-87b8-4346-b635-70d259543a68 · outbound

This paper cites RoNIN: Robust neural inertial navigation in the wild: Benchmark, evaluations, and new methods,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling RoNIN: Robust neural inertial navigation in the wild: Benchmark, evaluations, and new methods,

Reference 28

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Observation a3dd6686-d983-46d5-85f9-9fec1f9e31b0 · outbound

This paper cites TLIO: Tight learned inertial odometry,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling TLIO: Tight learned inertial odometry,

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.673776Z

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Observation ccb81908-e0b9-4a85-aa97-faa828fb48d3 · outbound

This paper cites AirIMU: Learning Uncertainty Propagation for Inertial Odometry.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling AirIMU: Learning Uncertainty Propagation for Inertial Odometry

Reference 31

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Observation ddfecce0-ee6a-4473-bf3c-35f175106c74 · outbound

This paper cites BeamsNet: A data-driven approach enhancing doppler velocity log measurements for autonomous underwater vehicle navigation,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling BeamsNet: A data-driven approach enhancing doppler velocity log measurements for autonomous underwater vehicle navigation,

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:40:25.593777Z

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Observation 41ac9c82-8d13-417e-9eef-24e581f07e81 · outbound

This paper cites MissBeamNet: Learning missing doppler velocity log beam measurements,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling MissBeamNet: Learning missing doppler velocity log beam measurements,

Reference 33

Resolution: verified exact; doi, observed 2026-07-14T10:40:25.725171Z

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Observation 15b3103d-e2ee-4662-98c0-d67586612827 · outbound

This paper cites Enhancing underwater navigation through cross-correlation-aware deep INS/DVL fusion,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Enhancing underwater navigation through cross-correlation-aware deep INS/DVL fusion,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 3dab1549-867b-42ac-bd66-fc558bc7ea21 · outbound

This paper cites TagSLAM: Robust SLAM with Fiducial Markers.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling TagSLAM: Robust SLAM with Fiducial Markers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation cbae27bf-ff0a-40c7-a689-75264288dbc0 · outbound

This paper cites Tank dataset: An underwater multi-sensor dataset for SLAM evaluation,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Tank dataset: An underwater multi-sensor dataset for SLAM evaluation,

Reference 36

Resolution: verified exact; doi, observed 2026-07-14T10:40:25.667542Z

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Observation f065456b-f88a-47ec-83c1-f967e78f50e4 · outbound

This paper cites BlueROV2 Technical Specifications,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling BlueROV2 Technical Specifications,

Reference 37

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Observation 9971d205-875b-41ac-9803-2756e95d7ee4 · outbound

This paper cites Are we ready for autonomous driving? the KITTI vision benchmark suite,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Are we ready for autonomous driving? the KITTI vision benchmark suite,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation eeced0cd-f7a9-4699-9395-935abe0decef · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling A benchmark for the evaluation of RGB-D SLAM systems,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Observation 2b90c9d4-5803-4e16-9923-6b014296280e · outbound

This paper cites Dead reckoning,.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Dead reckoning,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Bootstrap methods: Another look at the jackknife,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Unavailable: canonical work link unavailable.

Observation be03c3de-80b4-4cec-9dcb-b9015e908d57 · outbound

This paper cites Robust Model-Aided Inertial Localization for Autonomous Underwater Vehicles.

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling Robust Model-Aided Inertial Localization for Autonomous Underwater Vehicles

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T10:36:01.811459Z

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Pith citing papers

No inbound Pith citation observations are available.